• Lead R&D work on implementing electrical arc fault detection with artificial intelligence on STM32 microprocessor boards monitoring power applications for aircraft.• Programmed SSPC boards in C and KEIL uVision, analyzed tests and operated endurance testing of electromechanical relays with Python scripts, document management in DOORS and Excel.

•Built and tested first free-space amplitude modulated Time-Of-Flight (ToF) setup at GHz frequencies with frequency doubling operation for dual frequency phase unwrapping, allowing for micron-scale depth resolution 3D imaging and sensing. Incorporated interferometric arm to further increase resolution to submicron accuracy. •Simulated Amplitude Interference Coding Continuous-Wave Time-of-Flight (CW-ToF) laser imaging for modulation frequencies from MHz to GHz.•Built and operated a coaxial 2D scanning picosecond (ps) pulsed ToF setup with ps resolution for direct and Non-Line-Of-Sight (NLOS) imaging.

Trained, tested and analyzed a spiking neural network terrain classifier for parkour robotics using the state-of-the-art Intel Loihi neuromorphic chip and a Zed Mini stereo camera.

Set up, aligned and tested various optical transmitter and receiver configurations with OAM vortex and Gaussian beams; Analyzed sensor data in LabVIEW and presented experimental results to team for applications in underwater sensing and communications.

Operated Atomic Force Microscope, Hall Effect Measurement device, and X-ray fluorescence technology to record images, measure thicknesses, test electronic properties and analyze the composition of solar cell materials. Synthesized silver nanowires and indium tin oxide.Created computational model of perovskite solar cell devices in Mathematica to optimize power efficiency.

Built deep learning convolutional neural networks to automatically scale RF sounding to useful ionospheric data.Converted IDL scripts to Python for analyzing ionospheric data from multiple sites to compare with SAMI3 and reference model to obtain optimal geophysical parameters.